4. Histogram Analysis

  1. Hans Georg Schaathun

Published Online: 22 AUG 2012

DOI: 10.1002/9781118437957.ch4

Book Title

Machine Learning in Image Steganalysis

Machine Learning in Image Steganalysis

Additional Information

How to Cite

Schaathun, H. G. (2012) Histogram Analysis, in Machine Learning in Image Steganalysis, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118437957.ch4

Author Information

  1. Ålesund University College, Norway

Publication History

  1. Published Online: 22 AUG 2012
  2. Published Print: 21 AUG 2012

ISBN Information

Print ISBN: 9780470663059

Online ISBN: 9781118437957

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CHAPTER TOOLS

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Keywords:

  • features, analysis of histogram in steganalysis;
  • histogram use, in statistical steganalysis in spatial/JPEG;
  • machine learning, ability in not revealing statistical model to designer;
  • designing embedding to fit models of natural images, for discrepancies;
  • feature selection for classification, in steganalysis to design algorithms;
  • histogram CF for probability distributions in frequency domain;
  • HCF as features for steganalysis, Python in calculating HCF/ALE;
  • multi-dimensional histograms capturing correlation;
  • grey-scale images and higher-order features;
  • second-order ALE features and co-occurrence matrices

Summary

This chapter contains sections titled:

  • Early Histogram Analysis

  • Notation

  • Additive Independent Noise

  • Multi-dimensional Histograms

  • Experiment and Comparison

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